Vetted API Integration Professionals

“Backend/cloud engineer from Resilient Tech with hands-on experience deploying REST APIs and database migrations into a live ERP used by real customers while maintaining 99% uptime. Has debugged intermittent AWS container timeouts down to security group/load balancer misconfigurations, and has extended Python in an ERPNext system to meet GST/e-invoicing compliance requirements with strong customer collaboration.”

“GEODNET engineer specializing in edge-to-cloud, real-time GNSS data pipelines at global scale (thousands of heterogeneous base stations). Built deterministic-latency ingestion with RTCM/MSM normalization, jitter buffering, and firmware-aware parsing, and shipped production hotfixes using canary rollouts and deep observability. Also delivers customer-specific GNSS/RTK outputs via tested Python tooling (CLI/API) and collaborates on-site with operators to resolve firmware and network-driven issues.”

“Full-stack engineer who built and owned a production workflow/kanban-style drag-and-drop system in Next.js (App Router) with Postgres/Prisma, including reusable component abstractions, Cypress E2E coverage, and post-launch performance/bug ownership. Notable for measurable impact (25% faster UI dev, ~30% query perf improvement) and for leading an incremental Express→NestJS migration that reduced technical debt (~40%) through better structure, docs, and team enablement.”

“Data engineer with experience at Morgan Stanley and Star Health owning production-grade lakehouse pipelines for credit risk and healthcare datasets. Built Azure/Databricks/Delta/Snowflake-based platforms processing millions of records per day with strong data quality, observability (Monte Carlo/Azure Monitor), and reliability practices, plus experience delivering curated data services with performance tuning and backward-compatible versioning.”

“Union College robotics graduate with hands-on ROS experience building an independent “waiter bot” that took spoken orders (Mozilla DeepSpeech), used OpenCV, and navigated via SLAM on a TurtleBot with LiDAR. Also led the Union College Robotics crew for four years and implemented PID control for micromouse maze robots; has additional software deployment experience with Dockerized FastAPI and CI/CD from coursework.”

“Backend/data engineer focused on production AWS systems: builds multi-tenant FastAPI services on ECS behind API Gateway/ALB with serverless orchestration (Lambda, SQS, Step Functions) and strong reliability practices (JWT/JWKS auth, idempotency, backoff retries, structured logging). Also delivers AWS Glue/PySpark ETL pipelines with schema/data-quality controls and has modernized legacy analytics logic into Python with parity validation; improved a key dashboard SQL query from ~12–25s to ~2–3s.”

“Built and deployed a "personal second brain" product (CloneMind) with an end-to-end RAG pipeline for retrieving information across PDFs, URLs, images, and audio using Next.js/Node.js/Postgres/Supabase/Redis. Demonstrates strong practical depth in retrieval quality tuning, latency reduction via caching, and stateful orchestration with LangChain/LangGraph, plus experience persuading a non-technical professor stakeholder by shipping a working prototype.”

“Senior game developer with ~10+ years of experience who has authored a core Unity turn-based skill system (VFX, projectiles, status effects, async sequencing) and implemented Photon Fusion networking for an iOS simulation game with 6-player lobbies, dedicated servers, RPCs, and reliable data synchronization.”

“Frontend engineer with healthcare product experience who led end-to-end delivery of therapist-facing dashboards and clinical workflows in React + TypeScript, including real-time data and multi-role complexity. Emphasizes scalable feature-based architecture, strong domain typing (discriminated unions/domain layer), and performance techniques (scoped state, selector subscriptions, virtualization) alongside disciplined rollout practices (feature flags, QA, monitoring).”

“Frontend/fullstack lead who inherited a messy psychological app with production issues, drove a rapid stabilization (2–3 weeks) and major performance/architecture overhaul (Redux Toolkit, memoization, caching, lazy loading, CDN offload to S3/CloudFront). Also owns delivery and infrastructure practices (multi-env, Docker, GitHub Actions CI/CD, AWS ECS + load balancing) and led a 1-week POC for an AI-powered trucking management system (app.neblo.ai).”

“Backend/data engineer who built an end-to-end real-time stock analytics platform: ingesting multi-source market data via Kafka/APIs, transforming it into dashboard metrics (e.g., Bollinger Bands), and storing in BigQuery/MySQL. Strong DevOps/GitOps experience deploying Python/Node microservices on Kubernetes with Docker/Helm, CI/CD (GitHub Actions/Jenkins), and ArgoCD, plus hands-on troubleshooting and migration work.”

“AI Researcher with production experience building a real-time computer-vision detection pipeline augmented by an LLM-based verification layer to cut false positives (~78%) and reach ~90% real-world accuracy. Also partners cross-functionally with Product/Sales/Marketing to shape AI feature prioritization and market positioning using analysis and interactive dashboards.”

“Enterprise SaaS seller with 9 years across cloud and cybersecurity, owning outbound motions from ABM account penetration to partner ecosystem outreach for Fortune 100 accounts and an eight-figure book. Reports 40+ enterprise closes, including a financial services expansion driving 45% YoY growth and $1.7M in multi-SaaS deals across North America and Europe, with a structured, insight-led multi-channel prospecting approach using tools like Outreach, ZoomInfo, Salesforce, and HubSpot.”

“Built a production multi-agent RAG assistant using LangChain/LangGraph with OpenAI embeddings and FAISS, focusing on retrieval quality and latency (Redis caching, parallel retrieval, precomputed embeddings). Experienced orchestrating ETL/ML pipelines with Airflow and Databricks Workflows, and has delivered an AI assistant for business ops to extract insights from policy/compliance documents through close non-technical stakeholder collaboration.”

“Built and deployed a production AI career-advice agent designed to combat unreliable/generic LLM guidance by grounding outputs in retrieval-first RAG over resumes/job/hiring data, with multi-step reasoning, structured memory, and evidence-only prompting to reduce hallucinations. Implemented the system with LangChain/Python and deployed on AWS as scalable microservices orchestrated via REST and asynchronous calls, iterating closely with career coaches and students.”

“Growth/SEO operator with multi-market execution experience who builds scalable acquisition loops (landing page templates, internal linking, indexation fixes) and measures impact via clean attribution. Also an e-commerce side-project founder who led GTM from zero to consistent weekly revenue using GA4 funnel analytics, small-budget Meta/Google tests, retargeting, and SEO foundations; targeting $25k–$45k USD annually and open to scope-dependent arrangements.”

“Built and deployed a production-grade LLM agent for credit management and accounts receivable automation, integrating ERP/MySQL data via a RAG pipeline and exposing services through FastAPI with Pydantic-validated outputs on AWS Bedrock. Emphasizes reliability and compliance for financial operations using schema validation and human-in-the-loop review, reporting ~32% reduction in manual work and ~41% improvement in response time/reliability.”

“Unity/C# developer (7+ years) who has shipped VR apps targeting Meta Quest (Quest/2/Pro) using OpenXR/Meta XR SDK, with deep standalone performance optimization and comfort-focused UX. Owns the full delivery pipeline from Android build/signing and Gradle config to Windows installers and auto-patching via Azure, and builds robust Unity UI design systems plus core tech like humanoid bone mapping and VHACD collider generation. Also cross-functional across ReactJS dashboards and Python tooling to port VR workflows into Maya/iClone/Blender.”

“Frontend engineer who led an internal React + TypeScript admin dashboard end-to-end, including a collaboratively owned component system and complex RBAC/permissions workflows. Emphasizes scalable architecture and correctness using React Query (mutations + query invalidation), centralized permission logic, and TypeScript for safe evolution, plus performance tuning for data-heavy tables and pragmatic MVP-driven delivery with gradual rollouts.”

“Junior frontend developer building and shipping personal projects, including an end-to-end access control/registration app with modular/layered architecture, database modeling for scalability, and a React+TypeScript dashboard with filters and detail views. Emphasizes code quality through validation, unit tests, and modern tooling (Jest/RTL, ESLint, Zod, Postman), and uses Figma prototypes to translate UX into responsive UI.”

“Frontend engineer in fintech who led a client onboarding platform end-to-end, building a scalable React/TypeScript architecture with Redux-driven multi-step verification workflows. Strong focus on quality at scale through UI automation/E2E testing and CI/CD (GitHub Actions + Docker), enabling faster releases (bi-weekly to daily) while staying stable despite evolving backend APIs.”

“Backend/DevOps-leaning engineer who has owned a Python serverless platform on AWS (Lambda, DynamoDB, Step Functions), including complex multi-step business workflows with transaction-based consistency and robust failure handling. Also supported an on-prem SQL to Azure Data Lake migration by building and monitoring Python + Azure Data Factory ETL pipelines, and led GitOps-style CI/CD automation with GitHub Actions (tests, security scans, automated deployments).”

“Full-stack engineer with strong production ownership across frontend, backend, and cloud ops. Led an AdTech “Status Centre” initiative at Beautiful Code that automated DSP integrations (XML/SOAP/REST) and reduced manual work by 90%+, using an event-driven architecture with retries and OTEL/Datadog observability. Also built and hosted a MERN app (Onegrad), load-tested with k6, and has experience running large migrations (~8k users) with validation and alerting.”

“Co-op engineer who owned and shipped a Python/Flask backend for automating architecture reviews and system metadata processing, including ingestion from multiple internal APIs, RBAC, testing, and deployment. Has hands-on Kubernetes + GitOps (ArgoCD) experience, built Kafka-based real-time ingestion, and supported a cloud-to-on-prem migration with phased cutover, smoke tests, and performance tuning.”